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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

ParaDetox: Detoxification with Parallel Data ACL 2022 Parallel and High-Fidelity Text-to-Lip Generation AAAI 2022 Parallel Corpus Filtering for Japanese Text Simplification EMNLP 2022 Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models COLING 2022 Parameter-Efficient Sparsity for Large Language Models Fine-Tuning IJCAI 2022 Parameter Efficient Transfer Learning for Suicide Attempt and Ideation Detection EMNLP 2022 Parameterized Complexity of Hotelling-Downs with Party Nominees IJCAI 2022 Parameterized Differential Dynamic Programming RSS 2022 Parametrically Retargetable Decision-Makers Tend To Seek Power NeurIPS 2022 Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention CVPR 2022 PARSE: An Efficient Search Method for Black-box Adversarial Text Attacks COLING 2022 Parsing as Deduction Revisited: Using an Automatic Theorem Prover to Solve an SMT Model of a Minimalist Parser CoNLL 2022 Partial Counterfactual Identification from Observational and Experimental Data ICML 2022 Partial disentanglement for domain adaptation ICML 2022 Partial Identification of Treatment Effects with Implicit Generative Models NeurIPS 2022 Partial Identification with Noisy Covariates: A Robust Optimization Approach CLeaR 2022 Partially adaptive regularized multiple regression analysis for estimating linear causal effects UAI 2022 Partially Humanizing Weak Supervision: Towards a Better Low Resource Pipeline for Spoken Language Understanding EMNLP 2022 Partially-Random Initialization: A Smoking Gun for Binarization Hypothesis of BERT EMNLP 2022 Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration ICLR 2022 Participatory Machine Learning Models in Feminicide News Alert Detection AAAI 2022 Particle-based Adversarial Local Distribution Regularization AISTATS 2022 Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving CoRL 2022 Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams AAAI 2022 Partner Personas Generation for Dialogue Response Generation NAACL 2022